cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Anomaly detection in Context-aware Feature Models
    • [cs.AI]BabyAI 1.1
    • [cs.AI]Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving
    • [cs.AI]Formal Fields: A Framework to Automate Code Generation Across Domains
    • [cs.AI]On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
    • [cs.AI]Resource-rational Task Decomposition to Minimize Planning Costs
    • [cs.AR]STOMP: A Tool for Evaluation of Scheduling Policies in Heterogeneous Multi-Processors
    • [cs.CL]BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models
    • [cs.CL]Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior
    • [cs.CL]ECNU-SenseMak
    1000
    er at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
    • [cs.CL]Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
    • [cs.CL]Improving Results on Russian Sentiment Datasets
    • [cs.CL]Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks
    • [cs.CL]Linguistic Taboos and Euphemisms in Nepali
    • [cs.CL]Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation
    • [cs.CL]SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection
    • [cs.CL]Word embedding and neural network on grammatical gender — A case study of Swedish
    • [cs.CL]YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
    • [cs.CR]A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts
    • [cs.CR]A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud
    • [cs.CR]Agreements between Enterprises digitized by Smart Contracts in the Domain of Industry 4.0
    • [cs.CR]Label-Only Membership Inference Attacks
    • [cs.CV]3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
    • [cs.CV]A Deep Learning-based Detector for Brown SpotDisease in Passion Fruit Plant Leaves
    • [cs.CV]A Unified Framework of Surrogate Loss by Refactoring and Interpolation
    • [cs.CV]Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
    • [cs.CV]Active Learning for Video Description With Cluster-Regularized Ensemble Ranking
    • [cs.CV]Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance
    • [cs.CV]Assessing Risks of Biases in Cognitive Decision Support Systems
    • [cs.CV]Automatic Detection and Classification of Waste Consumer Medications for Proper Management and Disposal
    • [cs.CV]Black-Box Face Recovery from Identity Features
    • [cs.CV]Change Detection Using Synthetic Aperture Radar Videos
    • [cs.CV]Chest X-ray Report Generation through Fine-Grained Label Learning
    • [cs.CV]Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality
    • [cs.CV]Corner Proposal Network for Anchor-free, Two-stage Object Detection
    • [cs.CV]Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
    • [cs.CV]Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
    • [cs.CV]Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
    • [cs.CV]EXPO-HD: Exact Object Perception usingHigh Distraction Synthetic Data
    • [cs.CV]Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
    • [cs.CV]Generative networks as inverse problems with fractional wavelet scattering networks
    • [cs.CV]Handling confounding variables in statistical shape analysis — application to cardiac remodelling
    • [cs.CV]Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
    • [cs.CV]Monocular Real-Time Volumetric Performance Capture
    • [cs.CV]Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images
    • [cs.CV]On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
    • [cs.CV]Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU
    • [cs.CV]Perpetual Motion: Generating Unbounded Human Motion
    • [cs.CV]Quantum-soft QUBO Suppression for Accurate Object Detection
    • [cs.CV]RANDOM MASK: Towards Robust Convolutional Neural Networks
    • [cs.CV]RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
    • [cs.CV]Representation Learning with Video Deep InfoMax
    • [cs.CV]Robust Image Retrieval-based Visual Localization using Kapture
    • [cs.CV]Saliency Prediction with External Knowledge
    • [cs.CV]Superpixel Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing
    • [cs.CV]The Unsupervised Method of Vessel Movement Trajectory Prediction
    • [cs.CV]Toward Zero-Shot Unsupervised Image-to-Image Translation
    • [cs.CV]Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
    • [cs.CV]Varia
    6cde
    nts of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge
    • [cs.CV]WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform
    • [cs.CV]Weakly Supervised 3D Object Detection from Point Clouds
    • [cs.CV]se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
    • [cs.CY]Developing a measure of online wellbeing and user trust
    • [cs.CY]Ethics of Artificial Intelligence in Surgery
    • [cs.CY]Information Behavior During the Covid-19 Crisis in German-Speaking Countries
    • [cs.CY]Leveraging the Power of Place: A Data-Driven Decision Helper to Improve the Location Decisions of Economic Immigrants
    • [cs.CY]Overview of digital health surveillance system during COVID-19 pandemic: public health issues and misapprehensions
    • [cs.CY]Universal Fake News Collection System using Debunking Tweets
    • [cs.DB]Automated Database Indexing using Model-free Reinforcement Learning
    • [cs.DB]Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics
    • [cs.DB]Score-Based Explanations in Data Management and Machine Learning
    • [cs.DB]The Minimum Description Length Principle for Pattern Mining: A Survey
    • [cs.DC]A Machine Learning Approach to Online Fault Classification in HPC Systems
    • [cs.DC]A Review on Computational Intelligence Techniques in Cloud and Edge Computing
    • [cs.DC]Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
    • [cs.DC]An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets
    • [cs.DC]Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020
    • [cs.DC]Performance Analysis of Noise Subspace-based Narrowband Direction-of-Arrival (DOA) Estimation Algorithms on CPU and GPU
    • [cs.DC]Technical Report: Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores
    • [cs.DC]Twenty-Two New Approximate Proof Labeling Schemes
    • [cs.GT]Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
    • [cs.IR]COMET: Convolutional Dimension Interaction for Deep Matrix Factorization
    • [cs.IR]Declarative Experimentation in Information Retrieval using PyTerrier
    • [cs.IR]GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
    • [cs.IR]On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
    • [cs.IR]Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking
    • [cs.IT]1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding
    • [cs.IT]A Single-Letter Upper Bound on the Mismatch Capacity via Multicast Transmission
    • [cs.IT]Asymptotic Performance Analysis of NOMA Uplink Networks Under Statistical QoS Delay Constraints
    • [cs.IT]Derivation of OTFS Modulation from First Principles
    • [cs.IT]Enhancing Secure MIMO Transmission via Intelligent Reflecting Surface
    • [cs.IT]Linear Codes Of 2-Designs As Subcodes Of The Extended Generalized Reed-Muller Codes
    • [cs.IT]Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems:An Approach for Asymptotic Optimality
    • [cs.IT]Team Deep Mixture of Experts for Distributed Power Control
    • [cs.LG]A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records
    • [cs.LG]A Commentary on the Unsupervised Learning of Disentangled Representations
    • [cs.LG]A Comparison of Optimization Algorithms for Deep Learning
    • [cs.LG]Big Bird: Transformers for Longer Sequences
    • [cs.LG]CPAS: the UK’s National Machine Learning-based Hospital Capacity Planning System for COVID-19
    • [cs.LG]Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data
    • [cs.LG]Deep Learning Gauss-Manin Connections
    • [cs.LG]Deep frequency principle towards understanding why deeper learning is faster
    • [cs.LG]Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
    • [cs.LG]Diagnosing Concept Drift in Streaming Data
    • [cs.LG]Distributionally Robust Losses for Latent Covariate Mixtures
    • [cs.LG]Flower: A Friendly Federated Learning Research Framework
    • [cs.LG]La-MAML: Look-ahead Meta Learning for Continual Learning
    • [cs.LG]Learning discrete distributions: user vs item-level privacy
    • [cs.LG]Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
    • [cs.LG]Multi-Level Local SGD for Heterogeneous Hierarchical Networks
    • [cs.LG]Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing
    • [cs.LG]Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing
    • [cs.LG]Neural Temporal Point Processes For Modelling Electronic Health Records
    • [cs.LG]Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
    • [cs.LG]On Deep Unsupervised Active Learning
    • [cs.LG]Online Neural Connectivity Estimation with Noisy Group Testing
    • [cs.LG]PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Emebddings
    • [cs.LG]Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training
    • [cs.LG]Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation
    • [cs.LG]Theory of Deep Convolutional Neural Networks II: Spherical Analysis
    • [cs.LG]Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
    • [cs.LG]TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning
    • [cs.LG]Universal Approximation with Neural Intensity Point Processes
    • [cs.LG]openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion
    • [cs.NE]A Generalized Strong-Inversion CMOS Circuitry for Neuromorphic Applications
    • [cs.NE]Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine
    • [cs.PL]BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration
    • [cs.RO]Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth
    • [cs.RO]KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation
    • [cs.RO]Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways
    • [cs.RO]Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations
    • [cs.RO]Multi-camera Torso Pose Estimation using Graph Neural Networks
    • [cs.RO]Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints
    • [cs.RO]RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
    • [cs.RO]Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance
    • [cs.RO]Robust Ego and Object 6-DoF Motion Estimation and Tracking
    • [cs.SD]Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
    • [cs.SI]Calibration of Google Trends Time Series
    • [cs.SI]Detecting Dynamic States of Temporal Networks Using Connection Series Tensors
    • [cs.SI]Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)
    • [cs.SI]Fake News Detection using Temporal Features Extracted via Point Process
    • [cs.SI]Modeling and Predicting Fake News Spreading on Twitter
    • [econ.EM]The Spectral Approach to Linear Rational Expectations Models
    • [eess.AS]A Hybrid Approach to Audio-to-Score Alignment
    • [eess.AS]Detecting and analysing spontaneous oral cancer speech in the wild
    • [eess.AS]Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition
    • [eess.AS]Semi-Supervised Learning with Data Augmentation for End-to-End ASR
    • [eess.AS]Siamese x-vector reconstruction for domain adapted speaker recognition
    • [eess.IV]Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution
    • [eess.IV]CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray
    • [eess.IV]DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
    • [eess.IV]EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
    • [eess.IV]Efficient adaptation of neural network filter for video compression
    • [eess.IV]Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
    • [eess.IV]Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
    • [eess.IV]Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation
    • [eess.IV]Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
    • [eess.SP]A Probabilistic Spectral Analysis of Multivariate Real-Valued Nonstationary Signals
    • [eess.SP]Deep Learning for Direction of Arrival Estimation via Emulation of Large Antenna Arrays
    • [eess.SP]Energy Efficiency and Hover Time Optimization in UAV-based HetNets
    • [eess.SP]MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio
    • [eess.SP]SER Analysis for SWIPT-Enabled Differential Decode-and-Forward Relay Networks
    • [eess.SP]UAV-Assisted Intelligent Reflecting Surface Symbiotic Radio System
    • [math.NA]Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems
    • [math.ST]A minimax framework for quantifying risk-fairness trade-off in regression
    • [math.ST]Admissible ways of merging p-values under arbitrary dependence
    • [math.ST]Poisson QMLE for change-point detection in general integer-valued time series models
    • [math.ST]Tractably Modelling Dependence in Networks Beyond Exchangeability
    • [physics.data-an]The look-elsewhere effect from a unified Bayesian and frequentist perspective
    • [physics.soc-ph]Going beyond communication intensity for estimating tie strengths in social networks
    • [q-bio.NC]A new GPU library for fast simulation of large-scale networks of spiking neurons
    • [q-bio.PE]COVID-19 morbidity and mortality rates in Japan are correlated with local population density, temperature and absolute humidity
    • [quant-ph]Cost of quantum entanglement simplified
    • [quant-ph]Noise-Induced Barren Plateaus in Variational Quantum Algorithms
    • [stat.AP]A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
    • [stat.AP]A systematic approach to identify and evaluate missing data patterns and mechanisms in multivariate educational, social, and behavioral research
    • [stat.AP]Accounting for missing actors in interaction network inference from abundance data
    • [stat.AP]Mining Time-Stamped Electronic Health Records Using Referenced Sequences
    • [stat.AP]Statistical dynamics of social distancing in SARS-CoV-2 as a differential game
    • [stat.CO]merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models
    • [stat.ME]A set of efficient methods to generate high-dimensional binary data with specified correlation structures
    • [stat.ME]Collective Spectral Density Estimation and Clustering for Spatially-Correlated Data
    • [stat.ME]Multi-Level Micro-Randomized Trial: Detecting the Proximal Effect of Messages on Physical Activity
    • [stat.ME]Outcome model free causal inference with ultra-high dimensional covariates
    • [stat.ME]Robust parameter estimation in dynamical systems via Statistical Learning with an application to epidemiological models
    • [stat.ML]A High Probability Analysis of Adaptive SGD with Momentum
    • [stat.ML]Additive Tensor Decomposition Considering Structural Data Information
    • [stat.ML]DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
    • [stat.ML]Multi-Output Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment
    • [stat.ML]Normal-bundle Bootstrap
    • [stat.ML]Robust Similarity and Distance Learning via Decision Forests
    • [stat.ML]Stochastic Normalized Gradient Descent with Momentum for Large Batch Training
    • [stat.ML]Tempered Sigmoid Activations for Deep Learning with Differential Privacy

    ·····································

    • [cs.AI]Anomaly detection in Context-aware Feature Models
    Jacopo Mauro
    http://arxiv.org/abs/2007.14070v1

    • [cs.AI]BabyAI 1.1
    David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
    http://arxiv.org/abs/2007.12770v1

    • [cs.AI]Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving
    Teng Liu, Yang Xing, Long Chen, Dongpu Cao, Fei-Yue Wang
    http://arxiv.org/abs/2007.14248v1

    • [cs.AI]Formal Fields: A Framework to Automate Code Generation Across Domains
    Jacques Basaldúa
    http://arxiv.org/abs/2007.14075v1

    • [cs.AI]On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
    Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
    http://arxiv.org/abs/2007.14268v1

    • [cs.AI]Resource-rational Task Decomposition to Minimize Planning Costs
    Carlos G. Correa, Mark K. Ho, Fred Callaway, Thomas L. Griffiths
    http://arxiv.org/abs/2007.13862v1

    • [cs.AR]STOMP: A Tool for Evaluation of Scheduling Policies in Heterogeneous Multi-Processors
    Augusto Vega, Aporva Amarnath, John-David Wellman, Hiwot Kassa, Subhankar Pal, Hubertus Franke, Alper Buyuktosunoglu, Ronald Dreslinski, Pradip Bose
    http://arxiv.org/abs/2007.14371v1

    • [cs.CL]BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models
    Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz
    http://arxiv.org/abs/2007.14128v1

    • [cs.CL]Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior
    N. Aguirre-Celis, R. Miikkulainen
    http://arxiv.org/abs/2007.13840v1

    • [cs.CL]ECNU-SenseMak
    1000
    er at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
    Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
    http://arxiv.org/abs/2007.14200v1

    • [cs.CL]Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
    Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang
    http://arxiv.org/abs/2007.14071v1

    • [cs.CL]Improving Results on Russian Sentiment Datasets
    Anton Golubev, Natalia Loukachevitch
    http://arxiv.org/abs/2007.14310v1

    • [cs.CL]Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks
    Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C Lee Giles
    http://arxiv.org/abs/2007.13826v1

    • [cs.CL]Linguistic Taboos and Euphemisms in Nepali
    Nobal B. Niraula, Saurab Dulal, Diwa Koirala
    http://arxiv.org/abs/2007.13798v1

    • [cs.CL]Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation
    Sainik Kumar Mahata, Amrita Chandra, Dipankar Das, Sivaji Bandyopadhyay
    http://arxiv.org/abs/2007.14074v1

    • [cs.CL]SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection
    Fatemah Husain, Jooyeon Lee, Samuel Henry, Ozlem Uzuner
    http://arxiv.org/abs/2007.13974v1

    • [cs.CL]Word embedding and neural network on grammatical gender — A case study of Swedish
    Marc Allassonnière-Tang, Ali Basirat
    http://arxiv.org/abs/2007.14222v1

    • [cs.CL]YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
    Li Yuan, Jin Wang, Xuejie Zhang
    http://arxiv.org/abs/2007.13968v1

    • [cs.CR]A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts
    Neil Shah, Grant Ho, Marco Schweighauser, M. H. Afifi, Asaf Cidon, David Wagner
    http://arxiv.org/abs/2007.14030v1

    • [cs.CR]A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud
    Pankaj Khatiwada, Hari Bhusal, Ayan Chatterjee, Martin W. Gerdess
    http://arxiv.org/abs/2007.13850v1

    • [cs.CR]Agreements between Enterprises digitized by Smart Contracts in the Domain of Industry 4.0
    Kevin Wallis, Jan Stodt, Eugen Jastremskoj, Christoph Reich
    http://arxiv.org/abs/2007.14181v1

    • [cs.CR]Label-Only Membership Inference Attacks
    Christopher A. Choquette Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot
    http://arxiv.org/abs/2007.14321v1

    • [cs.CV]3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
    Devendra K. Jangid, Neal R. Brodnik, Amil Khan, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B. S. Manjunath
    http://arxiv.org/abs/2007.13887v1

    • [cs.CV]A Deep Learning-based Detector for Brown SpotDisease in Passion Fruit Plant Leaves
    Andrew Katumba, Moses Bomera, Cosmas Mwikirize, Gorret Namulondo, Mary Gorrt Ajero, Idd Ramathani, Olivia Nakayima, Dorothy Okello, Jonathan Serugunda
    http://arxiv.org/abs/2007.14103v1

    • [cs.CV]A Unified Framework of Surrogate Loss by Refactoring and Interpolation
    Lanlan Liu, Mingzhe Wang, Jia Deng
    http://arxiv.org/abs/2007.13870v1

    • [cs.CV]Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
    Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula
    http://arxiv.org/abs/2007.13971v1

    • [cs.CV]Active Learning for Video Description With Cluster-Regularized Ensemble Ranking
    David M. Chan, David A. Ross, Sudheendra Vijayanarasimhan, John Canny
    http://arxiv.org/abs/2007.13913v1

    • [cs.CV]Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance
    Eyal Gofer, Shachar Praisler, Guy Gilboa
    http://arxiv.org/abs/2007.13834v1

    • [cs.CV]Assessing Risks of Biases in Cognitive Decision Support Systems
    Kenneth Lai, Helder C. R. Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad Shmerko
    http://arxiv.org/abs/2007.14361v1

    • [cs.CV]Automatic Detection and Classification of Waste Consumer Medications for Proper Management and Disposal
    Bahram Marami, Atabak Reza Royaee
    http://arxiv.org/abs/2007.13903v1

    • [cs.CV]Black-Box Face Recovery from Identity Features
    Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko
    http://arxiv.org/abs/2007.13635v2

    • [cs.CV]Change Detection Using Synthetic Aperture Radar Videos
    Hasara Maithree, Dilan Dinushka, Adeesha Wijayasiri
    http://arxiv.org/abs/2007.14001v1

    • [cs.CV]Chest X-ray Report Generation through Fine-Grained Label Learning
    Tanveer Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest Boyko, Mehdi Moradi
    http://arxiv.org/abs/2007.13831v1

    • [cs.CV]Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality
    Weihua Liu, Xiabi Liu, Murong Wang, Ling Ma
    http://arxiv.org/abs/2007.13406v2

    • [cs.CV]Corner Proposal Network for Anchor-free, Two-stage Object Detection
    Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian
    http://arxiv.org/abs/2007.13816v1

    • [cs.CV]Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
    Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos
    http://arxiv.org/abs/2007.13912v1

    • [cs.CV]Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
    Senthil Purushwalkam, Abhinav Gupta
    http://arxiv.org/abs/2007.13916v1

    • [cs.CV]Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
    Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
    http://arxiv.org/abs/2007.14284v1

    • [cs.CV]EXPO-HD: Exact Object Perception usingHigh Distraction Synthetic Data
    Roey Ron, Gil Elbaz
    http://arxiv.org/abs/2007.14354v1

    • [cs.CV]Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
    Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo
    http://arxiv.org/abs/2007.14283v1

    • [cs.CV]Generative networks as inverse problems with fractional wavelet scattering networks
    Jiasong Wu, Jing Zhang, Fuzhi Wu, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu
    http://arxiv.org/abs/2007.14177v1

    • [cs.CV]Handling confounding variables in statistical shape analysis — application to cardiac remodelling
    Gabriel Bernardino, Oualid Benkarim, María Sanz-de la Garza, Susanna Prat-Gonzàlez, Álvaro Sepulveda-Martinez, Fàtima Crispi, Marta Sitges, Mathieu De Craene, Bart Bijnens, Miguel Ángel González Ballester
    http://arxiv.org/abs/2007.14239v1

    • [cs.CV]Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
    Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang
    http://arxiv.org/abs/2007.14164v1

    • [cs.CV]Monocular Real-Time Volumetric Performance Capture
    Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, Hao Li
    http://arxiv.org/abs/2007.13988v1

    • [cs.CV]Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images
    Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guangjing Song
    http://arxiv.org/abs/2007.14137v1

    • [cs.CV]On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
    Matt Poyser, Amir Atapour-Abarghouei, Toby P. Breckon
    http://arxiv.org/abs/2007.14314v1

    • [cs.CV]Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU
    Mete Can Kaya, Alperen İnci, Alptekin Temizel
    http://arxiv.org/abs/2007.14178v1

    • [cs.CV]Perpetual Motion: Generating Unbounded Human Motion
    Yan Zhang, Michael J. Black, Siyu Tang
    http://arxiv.org/abs/2007.13886v1

    • [cs.CV]Quantum-soft QUBO Suppression for Accurate Object Detection
    Junde Li, Swaroop Ghosh
    http://arxiv.org/abs/2007.13992v1

    • [cs.CV]RANDOM MASK: Towards Robust Convolutional Neural Networks
    Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang
    http://arxiv.org/abs/2007.14249v1

    • [cs.CV]RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
    Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
    http://arxiv.org/abs/2007.14366v1

    • [cs.CV]Representation Learning with Video Deep InfoMax
    R Devon Hjelm, Philip Bachman
    http://arxiv.org/abs/2007.13278v2

    • [cs.CV]Robust Image Retrieval-based Visual Localization using Kapture
    Martin Humenberger, Yohann Cabon, Nicolas Guerin, Julien Morat, Jérôme Revaud, Philippe Rerole, Noé Pion, Cesar de Souza, Vincent Leroy, Gabriela Csurka
    http://arxiv.org/abs/2007.13867v1

    • [cs.CV]Saliency Prediction with External Knowledge
    Yifeng Zhang, Ming Jiang, Qi Zhao
    http://arxiv.org/abs/2007.13839v1

    • [cs.CV]Superpixel Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing
    Taner Ince
    http://arxiv.org/abs/2007.14033v1

    • [cs.CV]The Unsupervised Method of Vessel Movement Trajectory Prediction
    Chih-Wei Chen, Charles Harrison, Hsin-Hsiung Huang
    http://arxiv.org/abs/2007.13712v2

    • [cs.CV]Toward Zero-Shot Unsupervised Image-to-Image Translation
    Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li
    http://arxiv.org/abs/2007.14050v1

    • [cs.CV]Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
    Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger
    http://arxiv.org/abs/2007.13890v1

    • [cs.CV]Varia
    6cde
    nts of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge
    Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee
    http://arxiv.org/abs/2007.13928v1

    • [cs.CV]WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform
    Shaolei Liu, Zhijian Song, Manning Wang
    http://arxiv.org/abs/2007.14110v1

    • [cs.CV]Weakly Supervised 3D Object Detection from Point Clouds
    Zengyi Qin, Jinglu Wang, Yan Lu
    http://arxiv.org/abs/2007.13970v1

    • [cs.CV]se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
    Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas E. Bekris
    http://arxiv.org/abs/2007.13866v1

    • [cs.CY]Developing a measure of online wellbeing and user trust
    Liz Dowthwaite, Elvira Perez Vallejos, Helen Creswick, Virginia Portillo, Menisha Patel, Jun Zhao
    http://arxiv.org/abs/2007.14273v1

    • [cs.CY]Ethics of Artificial Intelligence in Surgery
    Frank Rudzicz, Raeid Saqur
    http://arxiv.org/abs/2007.14302v1

    • [cs.CY]Information Behavior During the Covid-19 Crisis in German-Speaking Countries
    Stefan Dreisiebner, Sophie März, Thomas Mandl
    http://arxiv.org/abs/2007.13833v1

    • [cs.CY]Leveraging the Power of Place: A Data-Driven Decision Helper to Improve the Location Decisions of Economic Immigrants
    Jeremy Ferwerda, Nicholas Adams-Cohen, Kirk Bansak, Jennifer Fei, Duncan Lawrence, Jeremy M. Weinstein, Jens Hainmueller
    http://arxiv.org/abs/2007.13902v1

    • [cs.CY]Overview of digital health surveillance system during COVID-19 pandemic: public health issues and misapprehensions
    Molla Rashied Hussein, Ehsanul Hoque Apu, Shahriar Shahabuddin, Abdullah Bin Shams, Russell Kabir
    http://arxiv.org/abs/2007.13633v1

    • [cs.CY]Universal Fake News Collection System using Debunking Tweets
    Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
    http://arxiv.org/abs/2007.14083v1

    • [cs.DB]Automated Database Indexing using Model-free Reinforcement Learning
    Gabriel Paludo Licks, Felipe Meneguzzi
    http://arxiv.org/abs/2007.14244v1

    • [cs.DB]Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics
    Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia
    http://arxiv.org/abs/2007.13005v1

    • [cs.DB]Score-Based Explanations in Data Management and Machine Learning
    Leopoldo Bertossi
    http://arxiv.org/abs/2007.12799v1

    • [cs.DB]The Minimum Description Length Principle for Pattern Mining: A Survey
    Esther Galbrun
    http://arxiv.org/abs/2007.14009v1

    • [cs.DC]A Machine Learning Approach to Online Fault Classification in HPC Systems
    Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sirbu, Andrea Bartolini, Andrea Borghesi
    http://arxiv.org/abs/2007.14241v1

    • [cs.DC]A Review on Computational Intelligence Techniques in Cloud and Edge Computing
    Muhammad Asim, Yong Wang, Kezhi Wang, Pei-Qiu Huang
    http://arxiv.org/abs/2007.14215v1

    • [cs.DC]Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
    Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
    http://arxiv.org/abs/2007.14374v1

    • [cs.DC]An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets
    T. Koukaras, K. Kolomvatsos
    http://arxiv.org/abs/2007.14330v1

    • [cs.DC]Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020
    Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W Hwu
    http://arxiv.org/abs/2007.14152v1

    • [cs.DC]Performance Analysis of Noise Subspace-based Narrowband Direction-of-Arrival (DOA) Estimation Algorithms on CPU and GPU
    Hamza Eray, Alptekin Temizel
    http://arxiv.org/abs/2007.14135v1

    • [cs.DC]Technical Report: Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores
    Duong Nguyen, Sandeep S. Kulkarni
    http://arxiv.org/abs/2007.14218v1

    • [cs.DC]Twenty-Two New Approximate Proof Labeling Schemes
    Yuval Emek, Yuval Gil
    http://arxiv.org/abs/2007.14307v1

    • [cs.GT]Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
    Gabriele Farina, Christian Kroer, Tuomas Sandholm
    http://arxiv.org/abs/2007.14358v1

    • [cs.IR]COMET: Convolutional Dimension Interaction for Deep Matrix Factorization
    Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu
    http://arxiv.org/abs/2007.14129v1

    • [cs.IR]Declarative Experimentation in Information Retrieval using PyTerrier
    Craig Macdonald, Nicola Tonellotto
    http://arxiv.org/abs/2007.14271v1

    • [cs.IR]GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
    Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh
    http://arxiv.org/abs/2007.14018v1

    • [cs.IR]On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
    Ravi Kiran Selvam, Mayank Kejriwal
    http://arxiv.org/abs/2007.13829
    5df4
    v1
    5df4
    v1)

    • [cs.IR]Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking
    Harrie Oosterhuis, Maarten de Rijke
    http://arxiv.org/abs/2007.12719v2

    • [cs.IT]1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding
    Ang Li, Christos Masouros, A. Lee Swindlehurst, Wei Yu
    http://arxiv.org/abs/2007.13950v1

    • [cs.IT]A Single-Letter Upper Bound on the Mismatch Capacity via Multicast Transmission
    Anelia Somekh-Baruch
    http://arxiv.org/abs/2007.14322v1

    • [cs.IT]Asymptotic Performance Analysis of NOMA Uplink Networks Under Statistical QoS Delay Constraints
    Mouktar Bello, Arsenia Chorti, Inbar Fijalkow, Wenjuan Yu, Leila Musavian
    http://arxiv.org/abs/2007.13919v1

    • [cs.IT]Derivation of OTFS Modulation from First Principles
    Saif Khan Mohammed
    http://arxiv.org/abs/2007.14357v1

    • [cs.IT]Enhancing Secure MIMO Transmission via Intelligent Reflecting Surface
    Limeng Dong, Hui-Ming Wang
    http://arxiv.org/abs/2007.13944v1

    • [cs.IT]Linear Codes Of 2-Designs As Subcodes Of The Extended Generalized Reed-Muller Codes
    Zhiwen He, Jiejing Wen
    http://arxiv.org/abs/2007.14106v1

    • [cs.IT]Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems:An Approach for Asymptotic Optimality
    Gayathri R Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
    http://arxiv.org/abs/2007.12961v2

    • [cs.IT]Team Deep Mixture of Experts for Distributed Power Control
    Matteo Zecchin, David Gesbert, Marios Kountouris
    http://arxiv.org/abs/2007.14147v1

    • [cs.LG]A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records
    Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow
    http://arxiv.org/abs/2007.12780v1

    • [cs.LG]A Commentary on the Unsupervised Learning of Disentangled Representations
    Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
    http://arxiv.org/abs/2007.14184v1

    • [cs.LG]A Comparison of Optimization Algorithms for Deep Learning
    Derya Soydaner
    http://arxiv.org/abs/2007.14166v1

    • [cs.LG]Big Bird: Transformers for Longer Sequences
    Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
    http://arxiv.org/abs/2007.14062v1

    • [cs.LG]CPAS: the UK’s National Machine Learning-based Hospital Capacity Planning System for COVID-19
    Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
    http://arxiv.org/abs/2007.13825v1

    • [cs.LG]Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data
    Christian D. Blakely, Ole-Christoffer Granmo
    http://arxiv.org/abs/2007.13885v1

    • [cs.LG]Deep Learning Gauss-Manin Connections
    Kathryn Heal, Avinash Kulkarni, Emre Can Sertöz
    http://arxiv.org/abs/2007.13786v1

    • [cs.LG]Deep frequency principle towards understanding why deeper learning is faster
    Zhi-Qin John Xu, Hanxu Zhou
    http://arxiv.org/abs/2007.14313v1

    • [cs.LG]Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
    Jirong Yi, Raghu Mudumbai, Weiyu Xu
    http://arxiv.org/abs/2007.14042v1

    • [cs.LG]Diagnosing Concept Drift in Streaming Data
    Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu
    http://arxiv.org/abs/2007.14372v1

    • [cs.LG]Distributionally Robust Losses for Latent Covariate Mixtures
    John Duchi, Tatsunori Hashimoto, Hongseok Namkoong
    http://arxiv.org/abs/2007.13982v1

    • [cs.LG]Flower: A Friendly Federated Learning Research Framework
    Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane
    http://arxiv.org/abs/2007.14390v1

    • [cs.LG]La-MAML: Look-ahead Meta Learning for Continual Learning
    Gunshi Gupta, Karmesh Yadav, Liam Paull
    http://arxiv.org/abs/2007.13904v1

    • [cs.LG]Learning discrete distributions: user vs item-level privacy
    Yuhan Liu, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, Michael Riley
    http://arxiv.org/abs/2007.13660v2

    • [cs.LG]Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
    Zhi Wang, Chunlin Chen, Daoyi Dong
    http://arxiv.org/abs/2007.14196v1

    • [cs.LG]Multi-Level Local SGD for Heterogeneous Hierarchical Networks
    Timothy Castiglia, Anirban Das, Stacy Patterson
    http://arxiv.org/abs/2007.13819v1

    • [cs.LG]Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing
    Umberto, Michelucci, Francesca Venturini
    http://arxiv.org/abs/rg/abs/2007.13875v1

    • [cs.LG]Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing
    Umberto, Michelucci, Francesca Venturini
    http://arxiv.org/abs/2007.13875v1

    • [cs.LG]Neural Temporal Point Processes For Modelling Electronic Health Records
    Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Y. Hammerla
    http://arxiv.org/abs/2007.13794v1

    • [cs.LG]Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
    Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
    http://arxiv.org/abs/2007.13893v1

    • [cs.LG]On Deep Unsupervised Active Learning
    Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang
    http://arxiv.org/abs/2007.13959v1

    • [cs.LG]Online Neural Connectivity Estimation with Noisy Group Testing
    Anne Draelos, John M. Pearson
    http://arxiv.org/abs/2007.13911v1

    • [cs.LG]PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Emebddings
    Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
    http://arxiv.org/abs/2007.14175v1

    • [cs.LG]Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training
    Anna-Kathrin Kopetzki, Stephan Günnemann
    http://arxiv.org/abs/2007.14120v1

    • [cs.LG]Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation
    Or Yair, Almog Lahav, Ronen Talmon
    http://arxiv.org/abs/2007.14272v1

    • [cs.LG]Theory of Deep Convolutional Neural Networks II: Spherical Analysis
    Zhiying Fang, Han Feng, Shuo Huang, Ding-Xuan Zhou
    http://arxiv.org/abs/2007.14285v1

    • [cs.LG]Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
    Anatol Maier, Benedikt Lorch, Christian Riess
    http://arxiv.org/abs/2007.14132v1

    • [cs.LG]TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning
    Seongjin Choi, Jiwon Kim, Hwasoo Yeo
    http://arxiv.org/abs/2007.14189v1

    • [cs.LG]Universal Approximation with Neural Intensity Point Processes
    Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng, Lexing Xie
    http://arxiv.org/abs/2007.14082v1

    • [cs.LG]openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion
    Felix Weninger, Yue Zhang, Rosalind W. Picard
    http://arxiv.org/abs/2007.13889v1

    • [cs.NE]A Generalized Strong-Inversion CMOS Circuitry for Neuromorphic Applications
    Hamid Soleimani, Emmanuel. M. Drakakis
    http://arxiv.org/abs/2007.13941v1

    • [cs.NE]Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine
    Yu-Jun Zheng, Si-Lan Yu, Jun-Chao Yang, Tie-Er Gan, Qin Song, Jun Yang, Mumtaz Karatas
    http://arxiv.org/abs/2007.13926v1

    • [cs.PL]BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration
    Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton
    http://arxiv.org/abs/2007.14381v1

    • [cs.RO]Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth
    Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel
    http://arxiv.org/abs/2007.14097v1

    • [cs.RO]KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation
    En Yen Puang, Keng Peng Tee, Wei Jing
    http://arxiv.org/abs/2007.13960v1

    • [cs.RO]Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways
    Salar Arbabi, Shilp Dixit, Ziyao Zheng, David Oxtoby, Alexandros Mouzakitis, Saber Fallah
    http://arxiv.org/abs/2007.14032v1

    • [cs.RO]Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations
    Sashank Tirumala, Sagar Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
    http://arxiv.org/abs/2007.14290v1

    • [cs.RO]Multi-camera Torso Pose Estimation using Graph Neural Networks
    Daniel Rodriguez-Criado, Pilar Bachiller, Pablo Bustos, George Vogiatzis, Luis J. Manso
    http://arxiv.org/abs/2007.14126v1

    • [cs.RO]Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints
    Mingyu Cai, Zhijun Li, Hongbo Gao, Shaoping Xiao, Zhen Kan
    http://arxiv.org/abs/2007.14325v1

    • [cs.RO]RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
    Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan Ratliff
    http://arxiv.org/abs/2007.14256v1

    • [cs.RO]Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance
    Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis Hong
    http://arxiv.org/abs/2007.14035v1

    • [cs.RO]Robust Ego and Object 6-DoF Motion Estimation and Tracking
    Jun Zhang, Mina Henein, Robert Mahony, Viorela Ila
    http://arxiv.org/abs/2007.13993v1

    • [cs.SD]Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
    Yoshiki Masuyama, Yoshiaki Bando, Kohei Yatabe, Yoko Sasaki, Masaki Onishi, Yasuhiro Oikawa
    http://arxiv.org/abs/2007.13976v1

    • [cs.SI]Calibration of Google Trends Time Series
    Robert West
    http://arxiv.org/abs/2007.13861v1

    • [cs.SI]Detecting Dynamic States of Temporal Networks Using Connection Series Tensors
    Shun Cao, Hiroki Sayama
    http://arxiv.org/abs/2007.12756v2

    • [cs.SI]Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)
    Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan
    http://arxiv.org/abs/2007.14028v1

    • [cs.SI]Fake News Detection using Temporal Features Extracted via Point Process
    Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
    http://arxiv.org/abs/2007.14013v1

    • [cs.SI]Modeling and Predicting Fake News Spreading on Twitter
    Taichi Murayama, Shoko Wakamiya, Eiji Aramaki, Ryota Kobayashi
    http://arxiv.org/abs/2007.14059v1

    • [econ.EM]The Spectral Approach to Linear Rational Expectations Models
    Majid M. Al-Sadoon
    http://arxiv.org/abs/2007.13804v1

    • [eess.AS]A Hybrid Approach to Audio-to-Score Alignment
    Ruchit Agrawal, Simon Dixon
    http://arxiv.org/abs/2007.14333v1

    • [eess.AS]Detecting and analysing spontaneous oral cancer speech in the wild
    Bence Mark Halpern, Rob van Son, Michiel van den Brekel, Odette Scharenborg
    http://arxiv.org/abs/2007.14205v1

    • [eess.AS]Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition
    Jinxi Guo, Gautam Tiwari, Jasha Droppo, Maarten Van Segbroeck, Che-Wei Huang, Andreas Stolcke, Roland Maas
    http://arxiv.org/abs/2007.13802v1

    • [eess.AS]Semi-Supervised Learning with Data Augmentation for End-to-End ASR
    Felix Weninger, Franco Mana, Roberto Gemello, Jesús Andrés-Ferrer, Puming Zhan
    http://arxiv.org/abs/2007.13876v1

    • [eess.AS]Siamese x-vector reconstruction for domain adapted speaker recognition
    Shai Rozenberg, Hagai Aronowitz, Ron Hoory
    http://arxiv.org/abs/2007.14146v1

    • [eess.IV]Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution
    Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot
    http://arxiv.org/abs/2007.14007v1

    • [eess.IV]CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray
    A. Q. M. Sazzad Sayyed, Dipayan Saha, Abdul Rakib Hossain
    http://arxiv.org/abs/2007.14318v1

    • [eess.IV]DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
    Julia Wolleb, Robin Sandkühler, Philippe C. Cattin
    http://arxiv.org/abs/2007.14118v1

    • [eess.IV]EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
    Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo
    http://arxiv.org/abs/2007.13952v1

    • [eess.IV]Efficient adaptation of neural network filter for video compression
    Yat-Hong Lam, Alireza Zare, Francesco Cricri, Jani Lainema, Miska Hannuksela
    http://arxiv.org/abs/2007.14267v1

    • [eess.IV]Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
    Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu
    http://arxiv.org/abs/2007.13854v1

    • [eess.IV]Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
    Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
    http://arxiv.org/abs/2007.13838v1

    • [eess.IV]Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation
    Miki Morimatsu, Yusuke Monno, Masayuki Tanaka, Masatoshi Okutomi
    http://arxiv.org/abs/2007.14292v1

    • [eess.IV]Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
    Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot
    http://arxiv.org/abs/2007.14006v1

    • [eess.SP]A Probabilistic Spectral Analysis of Multivariate Real-Valued Nonstationary Signals
    Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic
    http://arxiv.org/abs/2007.13855v1

    • [eess.SP]Deep Learning for Direction of Arrival Estimation via Emulation of Large Antenna Arrays
    Aya Mostafa Ahmed, Udaya Sampath K. P. Miriya Thanthrige, Aly El Gamal, Aydin Sezgin
    http://arxiv.org/abs/2007.13824v1

    • [eess.SP]Energy Efficiency and Hover Time Optimization in UAV-based HetNets
    S. T. Muntaha, S. A. Hassan, H. Jung, M. S. Hossain
    http://arxiv.org/abs/2007.14098v1

    • [eess.SP]MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio
    Dejin Kong, Xiang-Gen Xia, Pei Liu, Qibiao Zhu
    http://arxiv.org/abs/2007.14168v1

    • [eess.SP]SER Analysis for SWIPT-Enabled Differential Decode-and-Forward Relay Networks
    Yuxin Lu, Wai Ho Mow
    http://arxiv.org/abs/2007.13740v1

    • [eess.SP]UAV-Assisted Intelligent Reflecting Surface Symbiotic Radio System
    Meng Hua, Luxi Yang, Qingqing Wu, Cunhua Pan, Chunguo Li, A. Lee Swindlehurst
    http://arxiv.org/abs/2007.14029v1

    • [math.NA]Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems
    Donsub Rim, Luca Venturi, Joan Bruna, Benjamin Peherstorfer
    http://arxiv.org/abs/2007.13977v1

    • [math.ST]A minimax framework for quantifying risk-fairness trade-off in regression
    Evgenii Chzhen, Nicolas Schreuder
    http://arxiv.org/abs/2007.14265v1

    • [math.ST]Admissible ways of merging p-values under arbitrary dependence
    Vladimir Vovk, Bin Wang, Ruodu Wang
    http://arxiv.org/abs/2007.14208v1

    • [math.ST]Poisson QMLE for change-point detection in general integer-valued time series models
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/2007.13858v1

    • [math.ST]Tractably Modelling Dependence in Networks Beyond Exchangeability
    Weichi Wu, Sofia Olhede, Patrick Wolfe
    http://arxiv.org/abs/2007.14365v1

    • [physics.data-an]The look-elsewhere effect from a unified Bayesian and frequentist perspective
    Adrian E. Bayer, Uros Seljak
    http://arxiv.org/abs/2007.13821v1

    • [physics.soc-ph]Going beyond communication intensity for estimating tie strengths in social networks
    Javier Ureña-Carrion, Jari Saramäki, Mikko Kivelä
    http://arxiv.org/abs/2007.14238v1

    • [q-bio.NC]A new GPU library for fast simulation of large-scale networks of spiking neurons
    Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, Elena Pastorelli, Francesco Simula, Pier Stanislao Paolucci
    http://arxiv.org/abs/2007.14236v1

    • [q-bio.PE]COVID-19 morbidity and mortality rates in Japan are correlated with local population density, temperature and absolute humidity
    Sachiko Kodera, Essam A. Rashed, Akimasa Hirata
    http://arxiv.org/abs/2007.14065v1

    • [quant-ph]Cost of quantum entanglement simplified
    Xin Wang, Mark M. Wilde
    http://arxiv.org/abs/2007.14270v1

    • [quant-ph]Noise-Induced Barren Plateaus in Variational Quantum Algorithms
    Samson Wang, Enrico Fontana, M. Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles
    http://arxiv.org/abs/2007.14384v1

    • [stat.AP]A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
    Claire Donnat, Nina Miolane, Frederick de St Pierre Bunbury, Jack Kreindler
    http://arxiv.org/abs/2007.13847v1

    • [stat.AP]A systematic approach to identify and evaluate missing data patterns and mechanisms in multivariate educational, social, and behavioral research
    Adam Davey, Ting Dai
    http://arxiv.org/abs/2007.14296v1

    • [stat.AP]Accounting for missing actors in interaction network inference from abundance data
    Raphaëlle Momal, Stéphane Robin, Christophe Ambroise
    http://arxiv.org/abs/2007.14299v1

    • [stat.AP]Mining Time-Stamped Electronic Health Records Using Referenced Sequences
    Anne Woods, Craig Meyer, Brian Sauer, Beth Cohen
    http://arxiv.org/abs/2007.14336v1

    • [stat.AP]Statistical dynamics of social distancing in SARS-CoV-2 as a differential game
    Chris von Csefalvay
    http://arxiv.org/abs/2007.13734v1

    • [stat.CO]merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models
    Emma C. Martin, Alessandro Gasparini, Michael J. Crowther
    http://arxiv.org/abs/2007.14109v1

    • [stat.ME]A set of efficient methods to generate high-dimensional binary data with specified correlation structures
    Wei Jiang, Shuang Song, Lin Hou, Hongyu Zhao
    http://arxiv.org/abs/2007.14080v1

    • [stat.ME]Collective Spectral Density Estimation and Clustering for Spatially-Correlated Data
    Tianbo Chen, Ying Sun, Mehdi Maadooliat
    http://arxiv.org/abs/2007.14085v1

    • [stat.ME]Multi-Level Micro-Randomized Trial: Detecting the Proximal Effect of Messages on Physical Activity
    Jing Xu, Xiaoxi Yan, Caroline Figueroa, Joseph Jay Williams, Bibhas Chakraborty
    http://arxiv.org/abs/2007.13741v1

    • [stat.ME]Outcome model free causal inference with ultra-high dimensional covariates
    Dingke Tang, Dehan Kong, Wenliang Pan, Linbo Wang
    http://arxiv.org/abs/2007.14190v1

    • [stat.ME]Robust parameter estimation in dynamical systems via Statistical Learning with an application to epidemiological models
    Diego Marcondes
    http://arxiv.org/abs/2007.14229v1

    • [stat.ML]A High Probability Analysis of Adaptive SGD with Momentum
    Xiaoyu Li, Francesco Orabona
    http://arxiv.org/abs/2007.14294v1

    • [stat.ML]Additive Tensor Decomposition Considering Structural Data Information
    Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi
    http://arxiv.org/abs/2007.13860v1

    • [stat.ML]DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
    Yuxiao Li, Ying Sun, Brian J Reich
    http://arxiv.org/abs/2007.11972v2

    • [stat.ML]Multi-Output Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment
    A. F. López-Lopera, D. Idier, J. Rohmer, F. Bachoc
    http://arxiv.org/abs/2007.14052v1

    • [stat.ML]Normal-bundle Bootstrap
    Ruda Zhang, Roger Ghanem
    http://arxiv.org/abs/2007.13869v1

    • [stat.ML]Robust Similarity and Distance Learning via Decision Forests
    Tyler M. Tomita, Joshua T. Vogelstein
    http://arxiv.org/abs/2007.13843v1

    • [stat.ML]Stochastic Normalized Gradient Descent with Momentum for Large Batch Training
    Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
    http://arxiv.org/abs/2007.13985v1

    • [stat.ML]Tempered Sigmoid Activations for Deep Learning with Differential Privacy
    Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson
    http://arxiv.org/abs/2007.14191v1